Results 31 to 40 of about 713,518 (369)

Hard Sample Aware Noise Robust Learning for Histopathology Image Classification [PDF]

IEEE Transactions on Medical Imaging, 2021
Deep learning-based histopathology image classification is a key technique to help physicians in improving the accuracy and promptness of cancer diagnosis.
Chuang Zhu, Wenkai Chen, T. Peng, Ying Wang, M. Jin   +4 more
semanticscholar   +1 more source

Hyperglycemia induces PFKFB3 overexpression and promotes malignant phenotype of breast cancer through RAS/MAPK activation

World Journal of Surgical Oncology, 2023
Background Breast cancer is the most common tumor in women worldwide. Diabetes mellitus is a global chronic metabolic disease with increasing incidence. Diabetes mellitus has been reported to positively regulate the development of many tumors.
Xiao Cheng, Xiupeng Jia, Chunnian Wang, Shangyan Zhou, Jiayi Chen, Lei Chen, Jinping Chen   +6 more
doaj   +1 more source

Hypoxia-regulated carbonic anhydrase IX (CAIX) protein is an independent prognostic indicator in triple negative breast cancer

Breast Cancer Research, 2022
Background The effect of extracellular microenvironment (hypoxia and pH) has been regarded as a key hallmark in cancer progression. The study aims to investigate the effects of carbonic anhydrase IX (CAIX), a key hypoxia-inducible marker, in triple ...
Chong Hui Clara Ong, Dong Yeul Lee, Bernett Lee, Huihua Li, Jeffrey Chun Tatt Lim, Johnathan Xiande Lim, Joe Poh Sheng Yeong, Hiu Yeung Lau, Aye Aye Thike, Puay Hoon Tan, Jabed Iqbal   +10 more
doaj   +1 more source

Learning histopathological patterns

Journal of Pathology Informatics, 2012
The aim was to demonstrate a method for automated image analysis of immunohistochemically stained tissue samples for extracting features that correlate with patient disease. We address the problem of quantifying tumor tissue and segmenting and counting cell nuclei.Our method utilizes a flexible segmentation method based on sparse coding trained from ...
Kårsnäs, Andreas, Dahl, Anders Lindbjerg, Larsen, Rasmus   +2 more
openaire   +4 more sources

Clinical and prognostic profile of Her2neu positive (non-luminal) intrinsic breast cancer subtype: comparison with Her2neu positive luminal breast cancers

BMC Research Notes, 2018
Objective Her2neu receptor is proto-oncogene which can be over-expressed in both luminal and non-luminal breast cancers. In the present study, we aimed to compare the prognostic and predictive factors like tumor grade, T-stage, N-stage and ki67 index in ...
Atif Ali Hashmi, Raeesa Mahboob, Saadia Mehmood Khan, Muhammad Irfan, Mariam Nisar, Narisa Iftikhar, Maham Siddiqui, Naveen Faridi, Amir Khan, Muhammad Muzzammil Edhi   +9 more
doaj   +1 more source

The histopathological spectrum of acute generalized exanthematous pustulosis (AGEP) and its differentiation from generalized pustular psoriasis [PDF]

, 2010
Background: Acute generalized exanthematous pustulosis (AGEP) represents a severe, acute, pustular skin reaction that is most often induced by drugs. AGEP can be difficult to differentiate from generalized pustular psoriasis (GPP) both clinically and ...
Austin, Baker, Beylot, Beylot, Britschgi, Burrows, Farber, Friedman, Guevara-Gutierrez, Horn, Iizuka, Kardaun, Katz, Keller, Kingery, Macmillan, Mobini, Muller, Naldi, Roujeau, Roujeau, Schaefer, Schmid, Shelley, Shelley, Sidoroff, Sidoroff, Smith, Spencer, Staughton, Terui, Weedon, Weedon, Yawalkar, Zelickson   +34 more
core   +3 more sources

Discriminating Different Classes of Toxicants by Transcript Profiling [PDF]

, 2004
Male rats were treated with various model compounds or the appropriate vehicle controls. Most substances were either well-known hepatotoxicants or showed hepatotoxicity during preclinical testing.
Albertini, Silvio, Boess, Franziska, de Vera, Maria Cristina, Gasser, Rodolfo, Ruepp, Stefan, Steiner, Guido, Suter, Laura   +6 more
core   +2 more sources

Swarm learning for decentralized artificial intelligence in cancer histopathology

Nature Medicine, 2021
Artificial intelligence (AI) can predict the presence of molecular alterations directly from routine histopathology slides. However, training robust AI systems requires large datasets for which data collection faces practical, ethical and legal obstacles.
O. Saldanha, P. Quirke, N. West, J. James, M. Loughrey, H. Grabsch, M. Salto‐Tellez, E. Alwers, Didem Cifci, N. Ghaffari Laleh, T. Seibel, R. Gray, G. Hutchins, H. Brenner, Marko van Treeck, T. Yuan, T. Brinker, J. Chang-Claude, Firas Khader, A. Schuppert, Tom Luedde, C. Trautwein, H. Muti, S. Foersch, M. Hoffmeister, D. Truhn, Jakob Nikolas Kather   +26 more
semanticscholar   +1 more source

Mismatch repair deficiency screening in colorectal carcinoma by a four-antibody immunohistochemical panel in Pakistani population and its correlation with histopathological parameters

World Journal of Surgical Oncology, 2017
Background Microsatellite instability (MSI) operates as the second major pathway in the colorectal carcinogenesis. Although genetic testing remains the gold standard for the detection of MSI, the College of American Pathologists (CAP) recommends an ...
Atif Ali Hashmi, Rabia Ali, Zubaida Fida Hussain, Naveen Faridi, Erum Yousuf Khan, Syed Muhammad Abu Bakar, Muhammad Muzzammil Edhi, Mehmood Khan   +7 more
doaj   +1 more source

Histopathological effects of cypermethrin and Bacillus thuringiensis var. israelensis on midgut of Chironomus calligraphus larvae (Diptera: Chironomidae) [PDF]

, 2018
Pesticides are extensively used for the control of agricultural pests and disease vectors, but they also affect non-target organisms. Cypermethrin (CYP) is a synthetic pyrethroid used worldwide. Otherwise, bioinsecticides like Bacillus thuringiensis var.
Arrighetti, Florencia, Lavarias, Sabrina Maria Luisa, Siri, Augusto   +2 more
core   +1 more source